How Dev Teams Can Defend Against Deepfake Social Engineering
As deepfake technology becomes more accessible, development teams face unprecedented social engineering threats. Here's how to build robust defenses against synthetic media attacks.
5 Multimodal AI Architectures Powering Video and Image AI
From early fusion to cross-modal attention, understanding the five core architectures behind AI systems that can see, read, and understand simultaneously—the foundation of modern synthetic media.
Samsung Deploys AI-Generated Video Ads Across Social Media
Samsung is running AI-generated and AI-edited video advertisements across its social media channels, raising questions about synthetic media in corporate marketing and consumer trust.
Zero-Order Optimization Enables Memory-Efficient LLM Fine-Tuning
New research introduces learnable direction sampling for zero-order optimization, dramatically reducing memory requirements for fine-tuning large language models without sacrificing performance.
Benchmark Leakage Trap Exposes Trust Issues in LLM Recommenders
New research reveals how benchmark data contamination undermines the reliability of LLM-based recommendation systems, raising critical questions about AI evaluation integrity.
New Metric Measures LLM Reasoning Depth via Deep-Thinking Tokens
Researchers propose measuring LLM reasoning quality through 'deep-thinking tokens' rather than output length, offering new insights into how AI models actually process complex problems.
Fine-Tuned BERT Classifier Detects AI-Generated Turkish News
New research presents a fine-tuned BERT model for detecting AI-generated content in Turkish news media, bridging perception studies with evidence-based classification methods.
Martingale Analysis Reveals Information Fidelity Limits in MCP Ag
New research applies martingale theory to analyze how information degrades in tool-using LLM agents operating under the Model Context Protocol, establishing mathematical bounds on agent reliability.
Mirror: Multi-Agent AI System Automates Ethics Review
New research introduces Mirror, a multi-agent framework using AI to assist in ethics review processes, potentially transforming how AI systems evaluate content for safety and compliance.
MAPLE: New Sub-Agent Architecture for AI Memory and Learning
New research introduces MAPLE, a sub-agent architecture enabling memory, learning, and personalization in agentic AI systems through modular design patterns.
New Variation-Based Framework Advances LLM Text Detection
Researchers propose a variation-based approach to distinguish AI-generated text from human writing, analyzing how language models respond differently to perturbations.
ByteDance Strengthens Seedance AI Video Safeguards After Hollywoo
ByteDance announces enhanced safety measures for its Seedance AI video generation model following entertainment industry concerns about copyright infringement and unauthorized content creation.